Search Results - "Azadifar, Mohammad"

On the Efficiency of OpenACC-aided GPU-Based FDTD Approach: Application to Lightning Electromagnetic Fields.

Authors: Mohammadi, Sajad Karami, Hamidreza Azadifar, Mohammad et al.

Source: Applied Sciences (2076-3417); Apr2020, Vol. 10 Issue 7, p2359, 15p

An experimental validation of partial discharge localization using electromagnetic time reversal.

Authors: Karami, Hamidreza Azadifar, Mohammad Rubinstein, Marcos et al.

Source: Scientific Reports. 1/8/2021, Vol. 11 Issue 1, p1-12. 12p.

A Compressive Sensing Framework for EMI Source Localization Using a Metalens Structure: Localization Beyond the Diffraction Limit.

Authors: Azadifar, Mohammad Karami, Hamidreza Rachidi, Farhad et al.

Source: IEEE Transactions on Electromagnetic Compatibility; Feb2022, Vol. 64 Issue 1, p58-65, 8p

Partial Discharge Localization Using Time Reversal: Application to Power Transformers.

Authors: Karami, Hamidreza Azadifar, Mohammad Mostajabi, Amirhossein et al.

Source: Sensors (14248220). Mar2020, Vol. 20 Issue 5, p1419. 1p.

On the Propagation of Lightning-Radiated Electromagnetic Fields Across a Mountain.

Authors: Hou, Wenhao Azadifar, Mohammad Rubinstein, Marcos et al.

Source: IEEE Transactions on Electromagnetic Compatibility; Oct2020, Vol. 62 Issue 5, p2137-2147, 11p

Numerical and Experimental Validation of Electromagnetic Time Reversal for Geolocation of Lightning Strikes.

Authors: Karami, Hamidreza Azadifar, Mohammad Mostajabi, Amirhossein et al.

Source: IEEE Transactions on Electromagnetic Compatibility; Oct2020, Vol. 62 Issue 5, p2156-2163, 8p

A Study of a Large Bipolar Lightning Event Observed at the Säntis Tower.

Authors: Azadifar, Mohammad Rubinstein, Marcos Rachidi, Farhad et al.

Source: IEEE Transactions on Electromagnetic Compatibility; Jun2019, Vol. 61 Issue 3, p796-806, 11p

Analysis of the lightning production of convective cells.

Authors: Figueras i Ventura, Jordi Pineda, Nicolau Besic, Nikola et al.

Source: Atmospheric Measurement Techniques. 2019, Vol. 12 Issue 10, p5573-5591. 19p.

Single-Sensor Source Localization Using Electromagnetic Time Reversal and Deep Transfer Learning: Application to Lightning.

Authors: Mostajabi, Amirhossein Karami, Hamidreza Azadifar, Mohammad et al.

Source: Scientific Reports. 11/22/2019, Vol. 9 Issue 1, pN.PAG-N.PAG. 1p.

Polarimetric radar characteristics of lightning initiation and propagating channels.

Authors: Figueras i Ventura, Jordi Pineda, Nicolau Besic, Nikola et al.

Source: Atmospheric Measurement Techniques. 2019, Vol. 12 Issue 5, p2881-2911. 31p.

Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques.

Authors: Mostajabi, Amirhossein Finney, Declan L. Rubinstein, Marcos et al.

Source: NPJ Climate & Atmospheric Science. 11/8/2019, Vol. 2 Issue 1, pN.PAG-N.PAG. 1p.